Farnaz Abtahi

According to our database1, Farnaz Abtahi authored at least 12 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Text Generation with Speech Synthesis for ASR Data Augmentation.
CoRR, 2023

2018
Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors.
PhD thesis, 2018

EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

A recursive framework for expression recognition: from web images to deep models to game dataset.
Mach. Vis. Appl., 2018

Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Towards an "In-the-Wild" Emotion Dataset Using a Game-Based Framework.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
A deep reinforcement learning approach to character segmentation of license plate images.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2011
Information theoretic reward shaping for curiosity driven learning in POMDPs.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Deep Belief Nets as Function Approximators for Reinforcement Learning.
Proceedings of the Lifelong Learning, 2011


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